D4.1 Datasets description – Full Paper

The following document is ‘Deliverable 4.1 Datasets description’ in the framework of the project titled ‘Revealing fair and actionable knowledge from data to support women’s inclusion in transport systems.’ (Acronym: DIAMOND; Grant Agreement No 824326). The document describes the datasets collected through the activities of ‘Work Package 3 – Data collection’ 1 (from M9-July 2019 to M25-November 2020), focusing on each Use Case of DIAMOND:

• Use Case I: Public Transport Infrastructures (Railways);
• Use Case II: (Emotion in) Autonomous Passenger Car;
• Use Case III: Vehicle (Bike) Sharing Fleet Management;
• Use Case IV: Employment of Women in Rail Industry and Freight/CSR Protocols.

Data collection campaigns have been based on the methodological approach of the DIAMOND project2. This relies on the Fairness Characteristics (FCs) identified through Thematic Analysis and on a series of interdisciplinary tools and methods (as listed below). The heterogeneous and disaggregated datasets gathered through the executed data collection campaigns are classified in three main categories:

• Thematic analysis:
o Literature review (All Use Cases);
o Focus Groups (All Use Cases);
o Semi structured interview (All Use Cases).

• Service and Employers’ Provision Data:
o Structured data (Use Cases I, III and IV);
o Observations (Use Cases I, II and III);
o Users and Employees’ Satisfaction Index questionnaires (all Use Cases);
o Social media data (Use Cases I, II and III).

• Users and Employees’ Perception Data:
o Dynamic Argumentative Delphi survey questionnaires (all Use Cases).

Deliverable 4.1 is aimed at reporting the datasets collected for the DIAMOND project including information about the identification of dataset sources, data collection tools, data collection timeline and responsible partners of the Consortium for each data collection activity. Within the objectives of the ‘Work Package 4 – Interdisciplinary model creation’, the Service and Employers’ Database will be analysed using Regression Analysis and Bayesian Networks, while the Users and Employees Perception Database will be analysed using Analytic Hierarchy Processes.

Deliverable 4.1 is especially useful for:
• WP4 Interdisciplinary Model Creation;
• WP5 DIAMOND Toolbox Development;
• WP6 DIAMOND Testing and Validation;
• WP8 Ethical, Legal and Data Management.